The Workings Behind Google Deep Dream Generator

Share on Facebook Tweet on Twitter The Deep Dream Generator is another of Google’s marvelous creations. Originally developed for the ImageNet Large-Scale Visual Recognition Challenge (ILSVRC) in 2014, it was later released into the market in 2015. This computer vision program can find and enhance patterns in images to create dreamlike pictures. The way in which the platform works is through the use of convolutional neural networks. This is essentially a term for describing a forward-fed neural network that involves neuron connectivity patterns responding to the overlapping regions in the visual field. Deep Dream uses the Python coding language in Caffe, which is a deep learning framework that can express architecture and code quickly. The great thing about this platform is that it transforms your everyday photographs into individual works…